There are 9 repositories under protein-folding topic.
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module
Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design
🧬 ManyFold: An efficient and flexible library for training and validating protein folding models
FrameDiPT: an SE(3) diffusion model for protein structure inpainting
Protein 3D structure prediction pipeline
Example to fit parameters and run CG simulations using TorchMD and Schnet
Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, as a standalone package for Pytorch
Singularity recipe for AlphaFold
An interactive visual simulator for distance-based protein folding
Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch.
Prospr is a universal toolbox for protein structure prediction within the HP-model. The Python package is based on a C++ core, which gives Prospr its high performance. The C++ core is made available as a separate zip file to facilitate high-performance computing applications. The package comes with many prediction algorithms and datasets to use.
A bash script for an automated Rosetta Abinitio folding simulation on an HPC
A curated list of awesome protein design research, software and resources.
Protein structure prediction using optimization methods from the field of machine learning
A package for protein conformational ensemble analyses based on a differential geometry representation of protein backbones.
The largest open-source dataset for Protein Single Sequence Secondary Structure prediction.
Examples for SDAccel 2017.1+ on AWS F1 instances
Quantum algorithms for protein structure prediction. Language: Python (Qiskit). Platform: IBM Quantum's backends and simulators.
We seek a classifier that will predict if a protein sequence (+3D coordinates) will fold.
"Train Your Reinforcement Learning Algorithm To This Protein Folding Problem Simulation". This is part of my bachelor thesis. The latest version of this env is in the LogDQN_ProteinHP repository.
ResNetQA: Improved protein model quality assessment by integrating sequential and pairwise features using deep learning
Hybridized distance- and contact-based hierarchical protein folding
A proof-of-concept for using AlphaFold with new amino acid sequences (this may change to a full project in the future).
OPUS-Fold3: a gradient-based protein all-atom folding and docking framework on TensorFlow